{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1c00177f",
   "metadata": {},
   "source": [
    "本章勘误：87面，' import matplotlib.pyplot as plt ' 后面一行，' some_digit = X\\[0\\] '无法取得第一行，原因是X是Df数据\n",
    "\n",
    "因此我提前令 X = np.array(X)，这样就可以执行' some_digit = X\\[0\\] '\n",
    "\n",
    "此外，标注暂不讨论的地方，或为暂不清楚\n",
    "\n",
    "前排提示，有关cross_val_predict的地方可能会消耗相当时间"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26b98bc7",
   "metadata": {},
   "source": [
    "# 获取数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8ecbca35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['data', 'target', 'frame', 'categories', 'feature_names', 'target_names', 'DESCR', 'details', 'url'])"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.datasets import fetch_openml\n",
    "mnist = fetch_openml('mnist_784', version=1)\n",
    "mnist.keys()  # mnist 是一个键值对字典，其值是DataFrame数表"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc5fe1dd",
   "metadata": {},
   "source": [
    "DESCR: 描述数据集；\n",
    "\n",
    "data：一个数组，一个实例一行，一个特征一列；一张图片有28\\*28个像素点，因此一个实例有784个像素数据\n",
    "\n",
    "target：带标记的数组，即该实例是数字几"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9f211e43",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((70000, 784), (70000,))"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X, y = mnist['data'], mnist['target']\n",
    "X.shape, y.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d39770b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    63687\n",
       "True      6313\n",
       "Name: class, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "X = np.array(X)  # 将X从Df数据改为ndarray数据，后续方便处理\n",
    "(y == '5').value_counts()  # 这是补充步骤，可以先留个印象，由此步可知5占大约10%"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79306656",
   "metadata": {},
   "source": [
    "## 预览图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d7791115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "# %matplotlib notebook\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']  # 正常显示中文\n",
    "\n",
    "some_digit = X[0]  # 取数字特征，转化为ndarray数组\n",
    "some_digit_image = some_digit.reshape(28, 28)  # 将一维数字特征重组为2维\n",
    "\n",
    "plt.imshow(some_digit_image, cmap='binary')  # 颜色为二值，即仅黑白\n",
    "plt.axis('off')  # 关掉轴\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "65a11d7c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'5'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y[0]  # 查看对应标签是否为5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9d67b427",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = y.astype(np.uint8)  # 将全部标签转化为整数型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "56a55ddc",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = X[:60000], X[60000:], y[:60000], y[60000:]  # 划分训练集测试集及其标签"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "dc90785d",
   "metadata": {},
   "source": [
    "> 原数据集已经随机打乱，因此可以直接切割，一般情况下需要用 `train_test_splt()` 或 `StratifiedShuffleSplit()` 随机抽样"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca239b97",
   "metadata": {},
   "source": [
    "# 建立一个二元分类器（5和非5）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "460eb3a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_5 = (y_train == 5)  # 训练集中标签是5的数据标记为True（1），其他为False（0）\n",
    "y_test_5 = (y_test == 5)  # 测试集中标签是5的数据标记为True（1），其他为False（0）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f3deed9b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         True\n",
       "1        False\n",
       "2        False\n",
       "3        False\n",
       "4        False\n",
       "         ...  \n",
       "59995    False\n",
       "59996    False\n",
       "59997     True\n",
       "59998    False\n",
       "59999    False\n",
       "Name: class, Length: 60000, dtype: bool"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9bd5b8d8",
   "metadata": {},
   "source": [
    "## 梯度下降分类器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e2723a5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SGDClassifier(random_state=42)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import SGDClassifier\n",
    "\n",
    "sgd_clf = SGDClassifier(random_state = 42)  \n",
    "# 训练时是随机的，每次结果不一样，要改为可复现的，需要指定随机数种子\n",
    "sgd_clf.fit(X_train, y_train_5)  \n",
    "# 实际上也可以用来做多分类，sgd_clf.fit(X_train, y_train)即可，但是效果可能很差，在4.1.1中发现预测结果是3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dd9eeb7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgd_clf.predict([some_digit])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4453efd2",
   "metadata": {},
   "source": [
    "# 性能测量（混淆矩阵，查全查准率等）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f190eef",
   "metadata": {},
   "source": [
    "可以自定义k折交叉验证函数（略）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2eda1506",
   "metadata": {},
   "source": [
    "## K折交叉验证"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "363fdd0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.95035, 0.96035, 0.9604 ])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "cross_val_score(sgd_clf, X_train, y_train_5, cv=3, scoring='accuracy')  # 3折交叉验证\n",
    "# scoring用'accuracy'，即精确匹配，在二分类用"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcf3105a",
   "metadata": {},
   "source": [
    "> 精度高，但主要是因为只有10%的数字是5，因此即便预测全部非5，精度也有90%，下面进行验证"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "992f2ac4",
   "metadata": {},
   "source": [
    "### 自定义一个傻瓜分类器（全部预测为非5）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "284b4490",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.base import BaseEstimator\n",
    "class Never5Classifier(BaseEstimator):  # 嵌套一个BaseEstimator，暂不讨论原因\n",
    "    def fit(self, X, y=None):\n",
    "        return self  # fit() 不做任何处理\n",
    "    def predict(self, X):\n",
    "        return np.zeros((len(X), 1), dtype=bool)  # predict() 返回全部为0（向量），即非5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcff65d2",
   "metadata": {},
   "source": [
    "> 可见，自定义分类器一般要包括fit()和predict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fe57aa4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.91125, 0.90855, 0.90915])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# k折交叉验证\n",
    "never_5_clf = Never5Classifier()\n",
    "cross_val_score(never_5_clf, X_train, y_train_5, cv=3, scoring='accuracy')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82cef118",
   "metadata": {},
   "source": [
    "可见全部预测为非5，精度也有90%"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2d5db10",
   "metadata": {},
   "source": [
    "## 混淆矩阵（用于描述性能情况）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "34442e0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_predict  # K折交叉预测，用于构建混淆矩阵\n",
    "y_train_pred = cross_val_predict(sgd_clf, X_train, y_train_5, cv=3)\n",
    "# cross_val_predict 用于在训练集上进行预测，用于做训练集的混淆矩阵和F1分数等"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2097a4e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True, False, False, ...,  True, False, False])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_pred  # 结果是标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9f5900b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[53892,   687],\n",
       "       [ 1891,  3530]], dtype=int64)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix  # 混淆矩阵\n",
    "confusion_matrix(y_train_5, y_train_pred)  # 二分类的混淆矩阵就是2*2，n分类则n*n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02076dc1",
   "metadata": {},
   "source": [
    "|        | 预测真 Positive | 预测假 Negative |\n",
    "| ------ | ------ | ------ |\n",
    "| 真实真 True |  TP 53892 | TN 687 |\n",
    "| 真实假 False|  FP 1891  |  FN 3530  |\n",
    "\n",
    "> 该表仅用于解释标签"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1690e14",
   "metadata": {},
   "source": [
    "混淆矩阵表示仍然有错误的分类，一个完美的分类器只有主对角线有值，即全部正确分类，这里可以参考西瓜书\n",
    " \n",
    "$查准率(精度)=\\frac{TP}{TP + FP}$ ，纵向\n",
    "\n",
    "$查全率(召回率)=\\frac{TP}{TP + TN}$ ， 横向\n",
    "\n",
    "完美模型的查全率和查准率都是1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c37d8398",
   "metadata": {},
   "source": [
    "## 精度和召回率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e3b65752",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "查准率： 0.8370879772350012\n",
      "查全率： 0.6511713705958311\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import precision_score, recall_score  # sklearn中的查全率、查准率函数，也可以手动计算\n",
    "print('查准率：',precision_score(y_train_5, y_train_pred))  # == 51933/(51933 + 2646)\n",
    "print('查全率：',recall_score(y_train_5, y_train_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a792595",
   "metadata": {},
   "source": [
    "有83.7%的概率是准确的，65.1%的5被找出来"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f865c002",
   "metadata": {},
   "source": [
    "### F1分数"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c14a413b",
   "metadata": {},
   "source": [
    "$F_1$分数是查全率和查准率的谐波平均值，用于简单比较两个模型的精度\n",
    "\n",
    "$ F_1=\\frac{2}{\\frac{1}{精度}+\\frac{1}{召回率}}=\\frac{TP}{TP+\\frac{FN+FP}{2}} $\n",
    "\n",
    "sklearn也提供了现成函数 f1_score，F1分数对于精度和召回率比较接近的模型比较有用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f132744f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7325171197343846"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import f1_score\n",
    "f1_score(y_train_5, y_train_pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "74216b42",
   "metadata": {},
   "source": [
    "> 查准率和查全率是负相关关系，有时候仅仅需要极高的精度（如拦截垃圾信息），有时候则只需要极高的召回率（如安保设施），因此选择P、R或$F_1$要根据研究目的而定"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30c1b62c",
   "metadata": {},
   "source": [
    "## 精度和召回率的权衡（PR）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d135f552",
   "metadata": {},
   "source": [
    "关于计算P/R的函数，参数是（真实标签，预测标签）\n",
    "\n",
    "而有关曲线（_curve）的函数，参数是（真实标签，预测分数）\n",
    "\n",
    "> 曲线相关函数目的是得出不同阈值情况下precisions和recalls或TPR和FPR的各个取值，从而绘制PR或ROC曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a83b144f",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_scores = sgd_clf.decision_function([some_digit])  # 可以返回一个决策分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ed1641ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2164.22030239])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ecdaa93b",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_scores = cross_val_predict(sgd_clf, X_train, y_train_5, cv=3, method='decision_function')\n",
    "# 该方法（method）返回决策分数"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "adac6a7a",
   "metadata": {},
   "source": [
    "### PR图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "984f41ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import precision_recall_curve  # PR曲线方法\n",
    "precisions, recalls, thresholds = precision_recall_curve(y_train_5, y_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "76f1887d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>59957</th>\n",
       "      <th>59958</th>\n",
       "      <th>59959</th>\n",
       "      <th>59960</th>\n",
       "      <th>59961</th>\n",
       "      <th>59962</th>\n",
       "      <th>59963</th>\n",
       "      <th>59964</th>\n",
       "      <th>59965</th>\n",
       "      <th>59966</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.090401</td>\n",
       "      <td>0.090386</td>\n",
       "      <td>0.090388</td>\n",
       "      <td>0.090389</td>\n",
       "      <td>0.090391</td>\n",
       "      <td>0.090392</td>\n",
       "      <td>0.090394</td>\n",
       "      <td>0.090395</td>\n",
       "      <td>0.090397</td>\n",
       "      <td>0.090398</td>\n",
       "      <td>...</td>\n",
       "      <td>0.777778</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.857143</td>\n",
       "      <td>0.833333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>0.999816</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001291</td>\n",
       "      <td>0.001291</td>\n",
       "      <td>0.001107</td>\n",
       "      <td>0.000922</td>\n",
       "      <td>0.000922</td>\n",
       "      <td>0.000738</td>\n",
       "      <td>0.000553</td>\n",
       "      <td>0.000369</td>\n",
       "      <td>0.000184</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-106527.453005</td>\n",
       "      <td>-105763.222401</td>\n",
       "      <td>-105406.296523</td>\n",
       "      <td>-104799.721326</td>\n",
       "      <td>-104613.214899</td>\n",
       "      <td>-104301.774274</td>\n",
       "      <td>-104269.965180</td>\n",
       "      <td>-104176.497972</td>\n",
       "      <td>-103830.566400</td>\n",
       "      <td>-103724.090229</td>\n",
       "      <td>...</td>\n",
       "      <td>34547.447029</td>\n",
       "      <td>34662.209500</td>\n",
       "      <td>35261.179277</td>\n",
       "      <td>35987.203075</td>\n",
       "      <td>36801.606970</td>\n",
       "      <td>37026.251165</td>\n",
       "      <td>38871.263919</td>\n",
       "      <td>42216.055628</td>\n",
       "      <td>49441.437659</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 59967 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           0              1              2              3              4      \\\n",
       "0       0.090401       0.090386       0.090388       0.090389       0.090391   \n",
       "1       1.000000       0.999816       0.999816       0.999816       0.999816   \n",
       "2 -106527.453005 -105763.222401 -105406.296523 -104799.721326 -104613.214899   \n",
       "\n",
       "           5              6              7              8              9      \\\n",
       "0       0.090392       0.090394       0.090395       0.090397       0.090398   \n",
       "1       0.999816       0.999816       0.999816       0.999816       0.999816   \n",
       "2 -104301.774274 -104269.965180 -104176.497972 -103830.566400 -103724.090229   \n",
       "\n",
       "   ...         59957         59958         59959         59960         59961  \\\n",
       "0  ...      0.777778      0.875000      0.857143      0.833333      1.000000   \n",
       "1  ...      0.001291      0.001291      0.001107      0.000922      0.000922   \n",
       "2  ...  34547.447029  34662.209500  35261.179277  35987.203075  36801.606970   \n",
       "\n",
       "          59962         59963         59964         59965  59966  \n",
       "0      1.000000      1.000000      1.000000      1.000000    1.0  \n",
       "1      0.000738      0.000553      0.000369      0.000184    0.0  \n",
       "2  37026.251165  38871.263919  42216.055628  49441.437659    NaN  \n",
       "\n",
       "[3 rows x 59967 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.DataFrame(precision_recall_curve(y_train_5, y_scores))  # 预览一下结果，发现thresholds最后一个是NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4bd90824",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义函数，利用plt来作图\n",
    "def plot_precision_recall_vs_threshold(precisions, recalls, thresholds):\n",
    "    plt.plot(thresholds, precisions[:-1], 'b--', label='精度')\n",
    "    plt.plot(thresholds, recalls[:-1], 'g-', label='召回率')\n",
    "    plt.xlabel('阈值')\n",
    "    plt.legend()\n",
    "    plt.grid()\n",
    "    plt.title('PR曲线')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "403debd4",
   "metadata": {},
   "source": [
    "> 注：precisions[:-1]和recalls[:-1]都去掉最后一个数，是因为thresholds最后一个值是NaN，如果不切片就报错"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "df817b6b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 用自定义函数作图\n",
    "plot_precision_recall_vs_threshold(precisions, recalls, thresholds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "972441b8",
   "metadata": {},
   "source": [
    "### 获得任务需要的精度的阈值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "39968232",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3370.0194991439557\n"
     ]
    }
   ],
   "source": [
    "# 得到目标精度(这里是90%)的阈值\n",
    "threshold_90_precision = thresholds[np.argmax(precisions >= 0.90)]\n",
    "# np.argmax(条件)，返回符合条件的最大索引\n",
    "print(threshold_90_precision)  # 该索引就是精度"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "37379624",
   "metadata": {},
   "source": [
    "### 用目标精度的阈值进行预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a85520ea",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_pred_90 = (y_scores >= threshold_90_precision)  # y_scores包含全部预测的分数，因此与目标阈值比较即可"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "04746e31",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[False False False ...  True False False]\n"
     ]
    }
   ],
   "source": [
    "print(y_train_pred_90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fc60d956",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "精度： 0.9000345901072293\n",
      "召回率： 0.4799852425751706\n"
     ]
    }
   ],
   "source": [
    "# 检查一下精度和召回率\n",
    "print('精度：', precision_score(y_train_5, y_train_pred_90))\n",
    "print('召回率：', recall_score(y_train_5, y_train_pred_90))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81d7bcc9",
   "metadata": {},
   "source": [
    "## ROC曲线"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65a1d770",
   "metadata": {},
   "source": [
    "### SGDClassifier的ROC曲线"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51b5c523",
   "metadata": {},
   "source": [
    "TPR 真正率，FPR 假正率\n",
    "\n",
    "$TPR=\\frac{TP}{TP+TN}$\n",
    "\n",
    "$FPR=\\frac{TN}{TP+TN}=1-TPR$\n",
    "\n",
    "可见ROC的参数更关注正类的情况，如果正类比较多或者关注真正类，建议用ROC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b6f89a56",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import roc_curve\n",
    "fpr, tpr, thresholds = roc_curve(y_train_5, y_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "a88c2f99",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 定义ROC函数做图\n",
    "def plot_roc_curve(fpr, tpr, label=None):  # label 默认是无\n",
    "    plt.plot(fpr, tpr, linewidth=2, label=label)\n",
    "    plt.plot([0, 1],[0, 1], 'k--')  \n",
    "    # 连接对角线，对角线表示纯随机分类的ROC曲线，模型ROC应越远离越好\n",
    "    plt.xlabel('假正率FPR')\n",
    "    plt.ylabel('真正率TPR')\n",
    "    plt.title('ROC曲线')\n",
    "    plt.grid()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "401037b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_roc_curve(fpr, tpr, 'SGD分类器')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d90a7dd9",
   "metadata": {},
   "source": [
    "ROC曲线下方的面积就是AUC分数，AUC越大效果越好\n",
    "\n",
    "sklearn提供计算AUC的函数 roc_auc_score()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "934f8b03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9604938554008616"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import roc_auc_score\n",
    "roc_auc_score(y_train_5, y_scores)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c970f6a",
   "metadata": {},
   "source": [
    "> 正类很少或关注假正类时，用PR曲线，否则是ROC曲线，这里看起来ROC曲线表现很好，但主要是因为5（正类）很少，因此应该用PR曲线评估"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20b22f41",
   "metadata": {},
   "source": [
    "### 随机森林的ROC曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "b9d987bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "forest_clf = RandomForestClassifier(random_state=42)\n",
    "y_probas_forest = cross_val_predict(forest_clf, X_train, y_train_5, cv=3, method='predict_proba')\n",
    "# cross_val_predict做混淆矩阵用\n",
    "# method='predict_proba' 返回正,负类概率作为分数，前面的SGD分类器的交叉验证分类用的是'decision_function'，直接返回分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e54e38a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.11, 0.89],\n",
       "       [0.99, 0.01],\n",
       "       [0.96, 0.04],\n",
       "       ...,\n",
       "       [0.02, 0.98],\n",
       "       [0.92, 0.08],\n",
       "       [0.94, 0.06]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_probas_forest  # 第一列是正类概率，第二列是负类概率，1-正类率=负类率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "583acec7",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_scores_forest = y_probas_forest[:, 1]  # 用正类率做分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ed77e4ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "fpr_forest, tpr_forest, threshold = roc_curve(y_train_5, y_scores_forest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "bafe2c18",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(fpr, tpr, 'r:', label='SGD分类器')  # 绘制之前的SGD分类器作比较\n",
    "plot_roc_curve(fpr_forest, tpr_forest, '随机森林')  # 这是之前自定义的函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "46cf6114",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9983436731328145"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 查看随机森林分类器的AUC\n",
    "roc_auc_score(y_train_5, y_scores_forest)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f7371f9",
   "metadata": {},
   "source": [
    "显然随机森林的AUC比SGD的AUC更大"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "d26724ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 查看随机森林的P和R\n",
    "precisions, recalls, thresholds = precision_recall_curve(y_train_5, y_scores_forest)  \n",
    "# 再次提醒，参数是真实标签和预测分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f13e6e16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_precision_recall_vs_threshold(precisions, recalls, thresholds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f8812db",
   "metadata": {},
   "source": [
    "可见PR都可以维持在比较高的水平（0.9以上）"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b27a658b",
   "metadata": {},
   "source": [
    "# 多类分类器"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7df8c691",
   "metadata": {},
   "source": [
    "## 支持向量机SVM方法"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef53bc30",
   "metadata": {},
   "source": [
    "OvR（One vs Rest）：策略是指一对剩余识别（是或否），例如对于10个数字，分类器0的任务是区分图像是否为0，分类器1的任务是区分图像是否为1，以此类推，特点是对于每一个分类器都要用全部训练集进行训练，大部分分类器适合这种方法\n",
    "\n",
    "OvO（One vs One）：策略是指一对一识别（是0还是1），例如分类器0区分0和1，分类器1区分0和2，以此类推，共需要 N*(N-1)/2 个分类器，特点是对于每一个分类器，只需要用其需要的数据集进行训练（如分类器0只需要训练0和1的数据），在数据规模扩大时表现不佳的模型适合此策略，如SVM（支持向量机）\n",
    "\n",
    "sklearn会根据需要自动选择策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "9412b558",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([5], dtype=uint8)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 这里用支持向量机（其原理在第五章，此处不讨论）\n",
    "from sklearn.svm import SVC\n",
    "svm_clf = SVC()\n",
    "svm_clf.fit(X_train, y_train)  # 这里是多分类，不再用变量 y_train_5，可能会运行5分钟\n",
    "svm_clf.predict([some_digit])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "0d1fe468",
   "metadata": {},
   "outputs": [],
   "source": [
    "some_digit_socres = svm_clf.decision_function([some_digit])  # 返回svm对于第一个数据对应各标签的预测分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "35b7c384",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.72501977,  2.72809088,  7.2510018 ,  8.3076379 , -0.31087254,\n",
       "         9.3132482 ,  1.70975103,  2.76765202,  6.23049537,  4.84771048]])"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "some_digit_socres  # 共10个分数，对应10个标签"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce369879",
   "metadata": {},
   "source": [
    "> 其中第五个是最高的，刚好对应数字5（一般序号不会对应标签）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "ac7f2b1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=uint8)"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "svm_clf.classes_  # .classes_ 储存类别，按值大小排序"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a90dea92",
   "metadata": {},
   "source": [
    "以上sklearn自动用了OvO策略"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e26b068",
   "metadata": {},
   "source": [
    "### 指定SVC使用OvO或OvR"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "122f8100",
   "metadata": {},
   "source": [
    "> 建议不要运行后面部分代码，将消耗大量时间（40分钟）"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "b43992e4",
   "metadata": {},
   "source": [
    "multiclass 模块中有 `OneVsRestClassifier()` 和 `OneVsOneClassifier()` ，可以传入其他分类器，从而指定其策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "56987b55",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from sklearn.multiclass import OneVsRestClassifier\n",
    "# ovr_clf = OneVsRestClassifier(SVC())  # 直接把SVC()传入即可实现SVC()的OvR策略\n",
    "# ovr_clf.fit(X_train, y_train)  # 要训练比较长一段时间，这就是让SVC用OvR的代价...\n",
    "# ovr_clf.predict([some_digit])  # 做预测"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "939da739",
   "metadata": {},
   "source": [
    "以上代码需要运行相当长时间，因此注释掉不做运行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "7ff4a944",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([3], dtype=uint8)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgd_clf.predict([some_digit])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "821a0f58",
   "metadata": {},
   "source": [
    "预测的结果是3，笑掉大牙"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "55c57b23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-31893.03095419, -34419.69069632,  -9530.63950739,\n",
       "          1823.73154031, -22320.14822878,  -1385.80478895,\n",
       "        -26188.91070951, -16147.51323997,  -4604.35491274,\n",
       "        -12050.767298  ]])"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sgd_clf.decision_function([some_digit])  # 康康分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "f2ef3e81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.87365, 0.85835, 0.8689 ])"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cross_val_score(sgd_clf, X_train, y_train, cv=3, scoring='accuracy')  # 可能运行几分钟"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "7ffd83bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.8983, 0.891 , 0.9018])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler  # 做缩放效果会好一点\n",
    "scaler = StandardScaler()\n",
    "X_train_scaled = scaler.fit_transform(X_train.astype(np.float64))  # 标准化\n",
    "cross_val_score(sgd_clf, X_train_scaled, y_train, cv=3, scoring='accuracy')  # 可能运行二十分钟以上"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6328b69",
   "metadata": {},
   "source": [
    "比之前强一点，可以拉到89%了"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d80d406d",
   "metadata": {},
   "source": [
    "# 误差分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "410a67e5",
   "metadata": {},
   "source": [
    "## 误差展示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "9e5fa175",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_pred = cross_val_predict(sgd_clf, X_train_scaled, y_train, cv=3)  # 可能要十五分钟以上"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "77fac13a",
   "metadata": {},
   "outputs": [],
   "source": [
    "conf_mx = confusion_matrix(y_train, y_train_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "583e5a10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5577,    0,   22,    5,    8,   43,   36,    6,  225,    1],\n",
       "       [   0, 6400,   37,   24,    4,   44,    4,    7,  212,   10],\n",
       "       [  27,   27, 5220,   92,   73,   27,   67,   36,  378,   11],\n",
       "       [  22,   17,  117, 5227,    2,  203,   27,   40,  403,   73],\n",
       "       [  12,   14,   41,    9, 5182,   12,   34,   27,  347,  164],\n",
       "       [  27,   15,   30,  168,   53, 4444,   75,   14,  535,   60],\n",
       "       [  30,   15,   42,    3,   44,   97, 5552,    3,  131,    1],\n",
       "       [  21,   10,   51,   30,   49,   12,    3, 5684,  195,  210],\n",
       "       [  17,   63,   48,   86,    3,  126,   25,   10, 5429,   44],\n",
       "       [  25,   18,   30,   64,  118,   36,    1,  179,  371, 5107]],\n",
       "      dtype=int64)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conf_mx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4c9dd451",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x28c168b2550>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.matshow(conf_mx, cmap=plt.cm.gray)  # matshow()是矩阵绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc22e1ac",
   "metadata": {},
   "source": [
    "可见效果还可以，大部分白色在对角线上，说明大部分被正确分类了\n",
    "\n",
    "其中数字5的颜色稍暗一点，可能是因为5比较少，也可能是因为5被区分的效果不好"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "833b1007",
   "metadata": {},
   "source": [
    "检查一下错误部分的情况，将错误值转化为错误率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "bd7c170b",
   "metadata": {},
   "outputs": [],
   "source": [
    "row_sums = conf_mx.sum(axis=1, keepdims=True)  # 每一行加总\n",
    "norm_conf_mx = conf_mx / row_sums  # 每个元素除以该行总数，得到错误率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "00d79b05",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "np.fill_diagonal(norm_conf_mx, 0)  # 用0填充主对角线，以便方便查看上下三角展示的错误情况\n",
    "plt.matshow(norm_conf_mx, cmap=plt.cm.gray)  # 展示矩阵\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f867e43",
   "metadata": {},
   "source": [
    "## 解决方案"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "267ffdee",
   "metadata": {},
   "source": [
    "可见，第八列数值较高，说明许多数字被错误预测为8，但第八行则比较暗，说明数字8大部分都被预测为了8，即对于8召回率高，精度低\n",
    "\n",
    "因此，可以搜集更多的数字8的图片进行训练，或者写一些算法来改进，比如判断图像闭环的数量，数字8是两个闭环，数字6是一个闭环，数字5没有闭环，还可以用其他方法对图像进行预处理，使得特征更加突出\n",
    "\n",
    "原书选取了一部分样本做了图片的混淆矩阵如下，代码不再加以展示!"
   ]
  },
  {
   "attachments": {
    "20220107_160930.jpg": {
     "image/jpeg": "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"
    }
   },
   "cell_type": "markdown",
   "id": "f17ed451",
   "metadata": {},
   "source": [
    "![20220107_160930.jpg](attachment:20220107_160930.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0454102",
   "metadata": {},
   "source": [
    "其中有一些字符连人类也很难分辨，而分类器主要就是给像素（向量）赋予权重，从而对像素进行打分，数字3和数字5的像素分布比较相似，所以容易混淆。\n",
    "\n",
    "数字3和数字5之间主要区别在于连接顶线和下方弧线的中间那段小线条的位置，如果数字3的连接点往左移，分类器就可能将其分类为5。\n",
    "\n",
    "总而言之，该分类器对于图像的位移和旋转很敏感，因此确保图像摆正或居于正中间位置，也对于提高分类效果有所帮助"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f7399ff",
   "metadata": {},
   "source": [
    "# 多标签分类"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c83dedf",
   "metadata": {},
   "source": [
    "有时候我们需要对识别到的内容进行多分类，比如既有1也有2，应该判断为1和2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b65f092",
   "metadata": {},
   "source": [
    "## K近邻算法（本章不讨论原理）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "738bc55c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier  # K近邻算法\n",
    "y_train_large = (y_train >= 7)  # 大于7的标签\n",
    "y_train_odd = (y_train % 2 == 1)  # 奇数标签\n",
    "y_multilabel = np.c_[y_train_large, y_train_odd]  # 多标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "af75d80f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[False,  True],\n",
       "       [False, False],\n",
       "       [False, False],\n",
       "       ...,\n",
       "       [False,  True],\n",
       "       [False, False],\n",
       "       [ True, False]])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_multilabel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "ce139f28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_clf = KNeighborsClassifier()\n",
    "knn_clf.fit(X_train, y_multilabel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "3858f4fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[False,  True]])"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_clf.predict([some_digit])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "533d5de1",
   "metadata": {},
   "source": [
    "预测结果是对的，数字5小于7（False），奇数（True）\n",
    "\n",
    "下面进行评估，方法取决于项目是什么，这里展示$F_1$分数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "fe3efb75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.976410265560605"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train_knn_pred = cross_val_predict(knn_clf, X_train, y_multilabel, cv=3)  # 可能需要运行3分钟\n",
    "f1_score(y_multilabel, y_train_knn_pred, average='macro')\n",
    "# 这里average='macro'表示所有标签同等重要\n",
    "# 实际情况下，若某一类标签比其他的都多，可以指定参数‘weighted’，按照标签数量匹配权重，其他指标看文档"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0845da43",
   "metadata": {},
   "source": [
    "可见F1分数比较高，一定程度上说明P和R都比较高"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bb571a9",
   "metadata": {},
   "source": [
    "# 多输出分类"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79d37d81",
   "metadata": {},
   "source": [
    "对于一个类别，可以有多个标签，比如多个可能的取值\n",
    "\n",
    "这里我们构建一个系统去除图片中的噪声，实际上就是预测像素点的取值，这里很类似于回归"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "c8a058c0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 建立一个有噪声的图像\n",
    "noise = np.random.randint(0, 100,(len(X_train), 784))  # 训练集噪声矩阵\n",
    "X_train_mod = X_train + noise\n",
    "noise = np.random.randint(0, 100, (len(X_test), 784))  # 测试集噪声矩阵\n",
    "X_test_mod = X_test + noise\n",
    "y_train_mod = X_train\n",
    "y_test_mod = X_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "9906af7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x28c1698b160>"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(X_test_mod[0].reshape(28, 28), cmap='binary')  # 在验证集取一个数查看，发现已经加入了噪点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "3f47fde0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KNeighborsClassifier()"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn_clf.fit(X_train_mod, y_train_mod)  # 在训练集训练像素"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "ec094890",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x28c16a040d0>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "clean_digit = knn_clf.predict([X_test_mod[0]])  # 预测刚才查看的验证集的数字\n",
    "plt.imshow(clean_digit.reshape(28, 28), cmap='binary')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28b98a6d",
   "metadata": {},
   "source": [
    "这就是K近邻做像素预测从而去除噪点的方法"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {
    "height": "537px",
    "width": "340px"
   },
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "311.038px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
